A 2050 CO 2 emissions forecast model of urban residential buildings in Shanghai

Rui Xing; Toshiharu Ikaga; Ken Oshiro; Keisuke Kimoto

doi:10.3130/aijt.16.1061

A 2050 CO ₂ emissions forecast model of urban residential buildings in Shanghai

Rui Xing, Toshiharu Ikaga, Ken Oshiro, Keisuke Kimoto

Department of System Design Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

These years residential energy consumption has been increasing sharply in China along with the high economic growth. Thus people pay much more attention to the issues of reducing the energy consumption and CO ₂ emission. This study chose Shanghai, a big city of China as a subject, and developed a Macro-model to forecast the CO ₂ emission of residential buildings up to 2050. By combining such Global warming count measures into the Macro-model it was able to forecast the CO ₂ emission of Shanghai's residential buildings in several energy-efficient scenarios.

Original language	English
Pages (from-to)	1061-1064
Number of pages	4
Journal	AIJ Journal of Technology and Design
Volume	16
Issue number	34
DOIs	https://doi.org/10.3130/aijt.16.1061
Publication status	Published - 2010 Oct

Keywords

CO emissions
China
Forecasting
Residential building

ASJC Scopus subject areas

Architecture
Building and Construction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3130/aijt.16.1061

Cite this

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AB - These years residential energy consumption has been increasing sharply in China along with the high economic growth. Thus people pay much more attention to the issues of reducing the energy consumption and CO 2 emission. This study chose Shanghai, a big city of China as a subject, and developed a Macro-model to forecast the CO 2 emission of residential buildings up to 2050. By combining such Global warming count measures into the Macro-model it was able to forecast the CO 2 emission of Shanghai's residential buildings in several energy-efficient scenarios.

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KW - Forecasting

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